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I'm trying to use this package to make prediction intervals for an "mlm" object.
I think, because of the NSE used in the source code, newdata is not found when the function is called within another function.
newdata
Toy example (Reprex) added below to better explain what I mean.
library(forecast) #> Warning: package 'forecast' was built under R version 4.0.4 #> Registered S3 method overwritten by 'quantmod': #> method from #> as.zoo.data.frame zoo resp <- matrix(rnorm(200), 100, 2) colnames(resp) <- paste0("R", 1:2) expl <- matrix(rnorm(400), 100, 4) colnames(expl) <- paste0("E", 1:4) fit <- stats::lm(resp ~ ., data = as.data.frame(expl)) print(fit) #> #> Call: #> stats::lm(formula = resp ~ ., data = as.data.frame(expl)) #> #> Coefficients: #> R1 R2 #> (Intercept) 0.11233 -0.01330 #> E1 0.09153 0.10792 #> E2 0.01813 0.18159 #> E3 -0.04822 0.10588 #> E4 -0.13863 -0.09265 print(class(fit)) #> [1] "mlm" "lm" newdat <- matrix(seq(8), 2, 4) colnames(newdat) <- paste0("E", 1:4) print(newdat) #> E1 E2 E3 E4 #> [1,] 1 3 5 7 #> [2,] 2 4 6 8 # forecast::forecast.mlm() forecast::forecast( object = fit, newdata = as.data.frame(newdat), level = 0.95 ) #> R1 #> Point Forecast Lo 95 Hi 95 #> 1 -0.9532618 -3.875441 1.968917 #> 2 -1.0304579 -4.239408 2.178492 #> #> R2 #> Point Forecast Lo 95 Hi 95 #> 1 0.5202065 -2.198623 3.239036 #> 2 0.8229431 -2.162701 3.808588 my_function <- function(my_fit, my_newdat) { results <- forecast::forecast( object = my_fit, newdata = as.data.frame(my_newdat), level = 0.95 ) # Do something with results, like plot ? # ... } my_function(fit, newdat) #> Error in as.data.frame(my_newdat): object 'my_newdat' not found
Created on 2021-03-09 by the reprex package (v1.0.0)
sessioninfo::session_info() #> - Session info --------------------------------------------------------------- #> setting value #> version R version 4.0.3 (2020-10-10) #> os Windows 10 x64 #> system x86_64, mingw32 #> ui RTerm #> language (EN) #> collate English_United Kingdom.1252 #> ctype English_United Kingdom.1252 #> tz Europe/London #> date 2021-03-09 #> #> - Packages ------------------------------------------------------------------- #> package * version date lib source #> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.3) #> backports 1.2.0 2020-11-02 [1] CRAN (R 4.0.3) #> cli 2.1.0 2020-10-12 [1] CRAN (R 4.0.3) #> colorspace 1.4-1 2019-03-18 [1] CRAN (R 4.0.3) #> crayon 1.3.4 2017-09-16 [1] CRAN (R 4.0.3) #> curl 4.3 2019-12-02 [1] CRAN (R 4.0.3) #> digest 0.6.27 2020-10-24 [1] CRAN (R 4.0.3) #> dplyr 1.0.2 2020-08-18 [1] CRAN (R 4.0.3) #> ellipsis 0.3.1 2020-05-15 [1] CRAN (R 4.0.3) #> evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.3) #> fansi 0.4.1 2020-01-08 [1] CRAN (R 4.0.3) #> forecast * 8.13 2020-09-12 [1] CRAN (R 4.0.4) #> fracdiff 1.5-1 2020-01-24 [1] CRAN (R 4.0.4) #> fs 1.5.0 2020-07-31 [1] CRAN (R 4.0.3) #> generics 0.1.0 2020-10-31 [1] CRAN (R 4.0.3) #> ggplot2 3.3.3 2020-12-30 [1] CRAN (R 4.0.3) #> glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.3) #> gtable 0.3.0 2019-03-25 [1] CRAN (R 4.0.3) #> highr 0.8 2019-03-20 [1] CRAN (R 4.0.3) #> htmltools 0.5.0 2020-06-16 [1] CRAN (R 4.0.3) #> knitr 1.30 2020-09-22 [1] CRAN (R 4.0.3) #> lattice 0.20-41 2020-04-02 [1] CRAN (R 4.0.3) #> lifecycle 0.2.0 2020-03-06 [1] CRAN (R 4.0.3) #> lmtest 0.9-38 2020-09-09 [1] CRAN (R 4.0.4) #> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.3) #> munsell 0.5.0 2018-06-12 [1] CRAN (R 4.0.3) #> nlme 3.1-149 2020-08-23 [1] CRAN (R 4.0.3) #> nnet 7.3-14 2020-04-26 [1] CRAN (R 4.0.3) #> pillar 1.4.6 2020-07-10 [1] CRAN (R 4.0.3) #> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.3) #> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.0.3) #> quadprog 1.5-8 2019-11-20 [1] CRAN (R 4.0.3) #> quantmod 0.4.18 2020-12-09 [1] CRAN (R 4.0.4) #> R6 2.5.0 2020-10-28 [1] CRAN (R 4.0.3) #> Rcpp 1.0.5 2020-07-06 [1] CRAN (R 4.0.3) #> reprex 1.0.0 2021-01-27 [1] CRAN (R 4.0.4) #> rlang 0.4.8 2020-10-08 [1] CRAN (R 4.0.3) #> rmarkdown 2.5 2020-10-21 [1] CRAN (R 4.0.3) #> rstudioapi 0.12 2020-11-10 [1] CRAN (R 4.0.3) #> scales 1.1.1 2020-05-11 [1] CRAN (R 4.0.3) #> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.3) #> stringi 1.5.3 2020-09-09 [1] CRAN (R 4.0.3) #> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.3) #> styler 1.3.2 2020-02-23 [1] CRAN (R 4.0.3) #> tibble 3.0.4 2020-10-12 [1] CRAN (R 4.0.3) #> tidyselect 1.1.0 2020-05-11 [1] CRAN (R 4.0.3) #> timeDate 3043.102 2018-02-21 [1] CRAN (R 4.0.3) #> tseries 0.10-48 2020-12-04 [1] CRAN (R 4.0.4) #> TTR 0.24.2 2020-09-01 [1] CRAN (R 4.0.4) #> urca 1.3-0 2016-09-06 [1] CRAN (R 4.0.4) #> vctrs 0.3.4 2020-08-29 [1] CRAN (R 4.0.3) #> withr 2.3.0 2020-09-22 [1] CRAN (R 4.0.3) #> xfun 0.19 2020-10-30 [1] CRAN (R 4.0.3) #> xts 0.12.1 2020-09-09 [1] CRAN (R 4.0.4) #> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.3) #> zoo 1.8-8 2020-05-02 [1] CRAN (R 4.0.3) #> #> [1] C:/R/R-4.0.3/library
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I'm trying to use this package to make prediction intervals for an "mlm" object.
I think, because of the NSE used in the source code,
newdata
is not found when the function is called within another function.Toy example (Reprex) added below to better explain what I mean.
Created on 2021-03-09 by the reprex package (v1.0.0)
Session info
The text was updated successfully, but these errors were encountered: